Ratan Rai Sur created SPARK-21685:
-------------------------------------
Summary: Params isSet in scala Transformer triggered by
_setDefault in pyspark
Key: SPARK-21685
URL: https://issues.apache.org/jira/browse/SPARK-21685
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 2.1.0
Reporter: Ratan Rai Sur
I'm trying to write a PySpark wrapper for a Transformer whose transform method
includes the line
{code:scala}
require(!(isSet(outputNodeName) && isSet(outputNodeIndex)), "Can't set both
outputNodeName and outputNodeIndex")
{code}
This should only throw an exception when both of these parameters are
explicitly set.
In the PySpark wrapper for the Transformer, there is this line in ___init___
{code:python}
self._setDefault(outputNodeIndex=0)
{code}
Here is the line in the main python script showing how it is being configured
{code:python}
cntkModel =
CNTKModel().setInputCol("images").setOutputCol("output").setModelLocation(spark,
model.uri).setOutputNodeName("z")
{code}
As you can see, only setOutputNodeName is being explicitly set but the
exception is still being thrown.
If you need more context,
https://github.com/RatanRSur/mmlspark/tree/default-cntkmodel-output is the
branch with the code, the files I'm referring to here are CNTKModel.scala and
_CNTKModel.py
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